Triple
T22700974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consortium of National Law Universities |
E561320
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CNLU |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CNLU | Statement: [Consortium of National Law Universities, abbreviation, CNLU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNLU Context triple: [Consortium of National Law Universities, abbreviation, CNLU]
-
A.
CNLU
chosen
CNLU is an abbreviation commonly used for the Consortium of National Law Universities, a collective body of India’s National Law Universities that coordinates activities such as the Common Law Admission Test (CLAT).
-
B.
NLU
NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
-
C.
Stanford NLP Group
The Stanford NLP Group is a leading research group at Stanford University focused on advancing natural language processing and computational linguistics through influential research, tools, and educational resources.
-
D.
AllenNLP
AllenNLP is an open-source natural language processing research library built on PyTorch, designed to facilitate the development and evaluation of state-of-the-art NLP models.
-
E.
Language Technology Unit
The Language Technology Unit is a specialized division focused on developing and promoting language technologies and computational tools for Indian languages under the Central Institute of Indian Languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178ca683c81909f6b4e26b85c99c1 |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:15 p.m.